What are the responsibilities and job description for the Staff Fraud and Risk Analyst position at Intuit?
Overview
One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, and access to capital. With Quickbooks, America’s entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world.
We are seeking a Staff Business Data Analyst as part of our growing Risk Analytics and Insight team within Intuit’s Global Business & Self Employed Group (GBSG). Be at the cutting edge of the FinTech industry - the GBSG division moves tens of billions of dollars in money for Intuit’s customers.The successful analyst will work across functions (Fraud & Risk Operations, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Small Business Group’s short and long-term business outcomes.
We’re looking for a candidate who will continue to build a strong analytics culture as part of our growing team. This role reports to the Manager of Analytics – Insights and Experimentation as part of the broader Analytics & Insights Group.
What you'll bring
- Strong analytical ability and proven business acumen with at least 5 years of relevant experience. Experience in Financial Services or FinTech preferred.
- Advanced SQL and coding skills to perform data segmentation and aggregation from scratch.
- Good working experience with data analytics and visualization tools like Tableau and Quicksight
- Knowledge of statistical analysis including A/B and multivariate testing.
- Written and verbal communication skills.
- High degree of accountability, organization and empathy.
- Experience working with Key Performance Indicator (KPI or OKR) metrics.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
- Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
- Able to work in a fast-paced working environment, multitask, balancing short & long term strategic implications to meet or exceed business objectives
- Bachelor’s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience.
How you will lead
- Develop compelling visualizations that crystallize business opportunities for business stakeholders and leaders to make timely decisions.
- Design and run data driven tests and experiments that identify business opportunities and compare performance against company goals.
- Use forecasting and predictive analytics techniques in developing insights and dashboards and communicate/ collaborate with partners on derived impacts to business .
- Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, and meet expectations of various stakeholders
- Use big data technology to mine massive scale transactional data to improve the fraud and credit risk mitigation strategies and design new risk-adjusted policy proposals.
- Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist.
- Build relationships with other functions critical to the team's mission.
- Ensure data collection and data processing is optimized to support new initiatives and product releases.
- Team player with experience working on cross functional groups toward shared outcomes.Must have good judgement with the ability to think creatively and strategically while working on multiple key projects simultaneously
